Search Results for author: Hao Xu

Found 71 papers, 20 papers with code

ZiNet: Linking Chinese Characters Spanning Three Thousand Years

1 code implementation Findings (ACL) 2022 Yang Chi, Fausto Giunchiglia, Daqian Shi, Xiaolei Diao, Chuntao Li, Hao Xu

In addition, powered by the knowledge of radical systems in ZiNet, this paper introduces glyph similarity measurement between ancient Chinese characters, which could capture similar glyph pairs that are potentially related in origins or semantics.

Speaker Diaphragm Excursion Prediction: deep attention and online adaptation

no code implementations11 May 2023 Yuwei Ren, Matt Zivney, Yin Huang, Eddie Choy, Chirag Patel, Hao Xu

Speaker protection algorithm is to leverage the playback signal properties to prevent over excursion while maintaining maximum loudness, especially for the mobile phone with tiny loudspeakers.

Deep Attention Quantization

Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous Information Networks

no code implementations23 Apr 2023 Chao Li, Hao Xu, Kun He

Meta-structures are widely used to define which subset of neighbors to aggregate information in heterogeneous information networks (HINs).

Node Classification

Fast vehicle detection algorithm based on lightweight YOLO7-tiny

no code implementations12 Apr 2023 Bo Li, Yihua Chen, Hao Xu, Fei Zhong

The swift and precise detection of vehicles plays a significant role in intelligent transportation systems.

Fast Vehicle Detection

EmoTalk: Speech-driven emotional disentanglement for 3D face animation

1 code implementation20 Mar 2023 Ziqiao Peng, HaoYu Wu, Zhenbo Song, Hao Xu, Xiangyu Zhu, Hongyan Liu, Jun He, Zhaoxin Fan

Specifically, we introduce the emotion disentangling encoder (EDE) to disentangle the emotion and content in the speech by cross-reconstructed speech signals with different emotion labels.

3D Face Animation Disentanglement

Secure Antenna Selection and Beamforming in MIMO Systems

no code implementations22 Feb 2023 Chongjun Ouyang, Hao Xu, Xujie Zang, Hongwen Yang

This work proposes a novel joint design for multiuser multiple-input multiple-output wiretap channels.

Representing Interlingual Meaning in Lexical Databases

no code implementations22 Jan 2023 Fausto Giunchiglia, Gabor Bella, Nandu Chandran Nair, Yang Chi, Hao Xu

In today's multilingual lexical databases, the majority of the world's languages are under-represented.

H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction

no code implementations CVPR 2023 Hao Xu, Tianyu Wang, Xiao Tang, Chi-Wing Fu

First, we decouple hand mesh reconstruction into two branches, one to exploit finger-level non-occluded information and the other to exploit global hand orientation, with lightweight structures to promote real-time inference.

FCC: Feature Clusters Compression for Long-Tailed Visual Recognition

1 code implementation CVPR 2023 Jian Li, Ziyao Meng, Daqian Shi, Rui Song, Xiaolei Diao, Jingwen Wang, Hao Xu

Through representation learning, DNNs can map BFs into dense clusters in feature space, while the features of minority classes often show sparse clusters.

Representation Learning

FuRPE: Learning Full-body Reconstruction from Part Experts

1 code implementation30 Nov 2022 Zhaoxin Fan, Yuqing Pan, Hao Xu, Zhenbo Song, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He

In FuRPE, the network is trained using pseudo labels and features generated from part-experts.

Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks

no code implementations27 Nov 2022 Chao Li, Hao Xu, Kun He

To address these issues, we propose a novel method called Partial Message Meta Multigraph search (PMMM) to automatically optimize the neural architecture design on HINs.

Neural Architecture Search Node Classification

Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network

no code implementations7 Nov 2022 Hao Xu, Jinglong Lin, Dongxiao Zhang, Fanyang Mo

A new research framework is proposed to incorporate machine learning techniques into the field of experimental chemistry to facilitate chromatographic enantioseparation.

Span-based joint entity and relation extraction augmented with sequence tagging mechanism

no code implementations23 Oct 2022 Bin Ji, Shasha Li, Hao Xu, Jie Yu, Jun Ma, Huijun Liu, Jing Yang

On the one hand, the core architecture enables our model to learn token-level label information via the sequence tagging mechanism and then uses the information in the span-based joint extraction; on the other hand, it establishes a bi-directional information interaction between NER and RE.

Joint Entity and Relation Extraction named-entity-recognition +2

Planning Assembly Sequence with Graph Transformer

1 code implementation11 Oct 2022 Lin Ma, Jiangtao Gong, Hao Xu, Hao Chen, Hao Zhao, Wenbing Huang, Guyue Zhou

In this paper, we present a graph-transformer based framework for the ASP problem which is trained and demonstrated on a self-collected ASP database.

Semi-Supervised Semantic Segmentation with Cross Teacher Training

1 code implementation Neurocomputing 2022 Hui Xiao, Li Dong, Kangkang Song, Hao Xu, Shuibo Fu, Diqun Yan, Chengbin Peng

In experiments, the cross-teacher module significantly improves the performance of traditional student-teacher approaches, and our framework outperforms stateof-the-art methods on benchmark datasets.

Contrastive Learning Semi-Supervised Semantic Segmentation

A Two-Phase Paradigm for Joint Entity-Relation Extraction

no code implementations18 Aug 2022 Bin Ji, Hao Xu, Jie Yu, Shasha Li, Jun Ma, Yuke Ji, Huijun Liu

An exhaustive study has been conducted to investigate span-based models for the joint entity and relation extraction task.

Joint Entity and Relation Extraction Vocal Bursts Valence Prediction

Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion

1 code implementation5 Aug 2022 Hao Xu, Junsheng Zeng, Dongxiao Zhang

The PIC is also employed to discover unrevealed macroscale governing equations from microscopic simulation data in an actual physical scene.

Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation

no code implementations1 Aug 2022 Huixuan Chi, Hao Xu, Hao Fu, Mengya Liu, Mengdi Zhang, Yuji Yang, Qinfen Hao, Wei Wu

In particular: 1) existing methods do not explicitly encode and capture the evolution of short-term preference as sequential methods do; 2) simply using last few interactions is not enough for modeling the changing trend.

Sequential Recommendation

Lens Antenna Arrays-Assisted mmWave MU-MIMO Uplink Transmission: Joint Beam Selection and Phase-Only Beamforming Design

no code implementations20 Jul 2022 Chongjun Ouyang, Hao Xu, Xujie Zang, Hongwen Yang

This paper considers a lens antenna array-assisted millimeter wave (mmWave) multiuser multiple-input multiple-output (MU-MIMO) system.

CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising

1 code implementation16 Jul 2022 Daqian Shi, Xiaolei Diao, Lida Shi, Hao Tang, Yang Chi, Chuntao Li, Hao Xu

Degraded images commonly exist in the general sources of character images, leading to unsatisfactory character recognition results.

Image Denoising

RCRN: Real-world Character Image Restoration Network via Skeleton Extraction

no code implementations16 Jul 2022 Daqian Shi, Xiaolei Diao, Hao Tang, Xiaomin Li, Hao Xing, Hao Xu

SENet aims to preserve the structural consistency of the character and normalize complex noise.

Image Restoration

RZCR: Zero-shot Character Recognition via Radical-based Reasoning

no code implementations12 Jul 2022 Xiaolei Diao, Daqian Shi, Hao Tang, Qiang Shen, Yanzeng Li, Lei Wu, Hao Xu

The long-tail effect is a common issue that limits the performance of deep learning models on real-world datasets.

Underwater Acoustic Communication Channel Modeling using Reservoir Computing

no code implementations30 May 2022 Oluwaseyi Onasami, Ming Feng, Hao Xu, Mulugeta Haile, Lijun Qian

Underwater acoustic (UWA) communications have been widely used but greatly impaired due to the complicated nature of the underwater environment.

Transfer Learning

Ensemble Multi-Relational Graph Neural Networks

1 code implementation24 May 2022 Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu

This EMR optimization objective is able to derive an iterative updating rule, which can be formalized as an ensemble message passing (EnMP) layer with multi-relations.

Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology

no code implementations18 Apr 2022 Yuchao Zheng, Chen Li, Xiaomin Zhou, HaoYuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek

Method: This paper proposes a deep ensemble model based on image-level labels for the binary classification of benign and malignant lesions of breast histopathological images.

Binary Classification Classification +4

Semantic interpretation for convolutional neural networks: What makes a cat a cat?

no code implementations16 Apr 2022 Hao Xu, Yuntian Chen, Dongxiao Zhang

The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the "black box" model.


2D Human Pose Estimation: A Survey

no code implementations15 Apr 2022 Haoming Chen, Runyang Feng, Sifan Wu, Hao Xu, Fengcheng Zhou, Zhenguang Liu

Briefly, existing approaches put their efforts in three directions, namely network architecture design, network training refinement, and post processing.

2D Human Pose Estimation Keypoint Detection

Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces

1 code implementation7 Apr 2022 Simon Dahan, Hao Xu, Logan Z. J. Williams, Abdulah Fawaz, Chunhui Yang, Timothy S. Coalson, Michelle C. Williams, David E. Newby, A. David Edwards, Matthew F. Glasser, Alistair A. Young, Daniel Rueckert, Emma C. Robinson

Results suggest that Surface Vision Transformers (SiT) demonstrate consistent improvement over geometric deep learning methods for brain age and fluid intelligence prediction and achieve comparable performance on calcium score classification to standard metrics used in clinical practice.

Classification Data Augmentation

Fast-Spherical-Projection-Based Point Cloud Clustering Algorithm

no code implementations 02/05 2022 Zhihui Chen, Hao Xu, Junxuan Zhao, and Hongchao Liu

To contribute to better roadside LiDAR-based transportation facilities, this paper presents a fast-spherical-projection-based clustering algorithm (FSPC) for real-time LiDAR data processing with higher clustering accuracy and noise handling.

Autonomous Driving

Linear Array Network for Low-light Image Enhancement

no code implementations22 Jan 2022 Keqi Wang, Ziteng Cui, Jieru Jia, Hao Xu, Ge Wu, Yin Zhuang, Lu Chen, Zhiguo Hu, Yuhua Qian

However, the convolution operation is based on a local sliding window mechanism, which is difficult to construct the long-range dependencies of the feature maps.

Low-Light Image Enhancement

Learning Dynamic Preference Structure Embedding From Temporal Networks

1 code implementation23 Nov 2021 Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu

Our proposed Dynamic Preference Structure (DPS) framework consists of two stages: structure sampling and graph fusion.

Graph Sampling

Whole Heart Anatomical Refinement from CCTA using Extrapolation and Parcellation

no code implementations18 Nov 2021 Hao Xu, Steven A. Niederer, Steven E. Williams, David E. Newby, Michelle C. Williams, Alistair A. Young

In addition to the new labels, the median Dice scores were improved for all the initial 6 labels to be above 95% in the 10-label segmentation, e. g. from 91% to 97% for the left atrium body and from 92% to 96% for the right ventricle.


Label prompt for multi-label text classification

no code implementations18 Jun 2021 Rui Song, Xingbing Chen, Zelong Liu, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu

In this paper, we propose a Label Mask multi-label text classification model (LM-MTC), which is inspired by the idea of cloze questions of language model.

Language Modelling Multi Label Text Classification +2

Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE)

2 code implementations9 Jun 2021 Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang

Partial differential equations (PDEs) are concise and understandable representations of domain knowledge, which are essential for deepening our understanding of physical processes and predicting future responses.

Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data

no code implementations31 May 2021 Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang

Although deep-learning has been successfully applied in a variety of science and engineering problems owing to its strong high-dimensional nonlinear mapping capability, it is of limited use in scientific knowledge discovery.

Robust discovery of partial differential equations in complex situations

no code implementations31 May 2021 Hao Xu, Dongxiao Zhang

In the framework, a preliminary result of potential terms provided by the deep learning-genetic algorithm is added into the loss function of the PINN as physical constraints to improve the accuracy of derivative calculation.

Topological Regularization for Graph Neural Networks Augmentation

no code implementations3 Apr 2021 Rui Song, Fausto Giunchiglia, Ke Zhao, Hao Xu

The complexity and non-Euclidean structure of graph data hinder the development of data augmentation methods similar to those in computer vision.

Data Augmentation Representation Learning

OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration

1 code implementation ICCV 2021 Hao Xu, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, Bing Zeng

On the other hand, previous global feature based approaches can utilize the entire point cloud for the registration, however they ignore the negative effect of non-overlapping points when aggregating global features.

Point Cloud Registration

BE-RAN: Blockchain-enabled Open RAN with Decentralized Identity Management and Privacy-Preserving Communication

no code implementations26 Jan 2021 Hao Xu, Lei Zhang, Elaine Sun, Chih-Lin I

In this paper, Blockchain-enabled Radio Access Networks (BE-RAN) is proposed as a novel decentralized RAN architecture to facilitate enhanced security and privacy on identification and authentication.

Cryptography and Security Distributed, Parallel, and Cluster Computing Networking and Internet Architecture

Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data

no code implementations24 Nov 2020 Hao Xu, Dongxiao Zhang, Nanzhe Wang

Our proposed algorithm is also able to discover PDEs with high-order derivatives or heterogeneous parameters accurately with sparse and noisy data.

Multi-Modal Subjective Context Modelling and Recognition

no code implementations19 Nov 2020 Qiang Shen, Stefano Teso, Wanyi Zhang, Hao Xu, Fausto Giunchiglia

Second, existing models typically assume that context is objective, whereas in most applications context is best viewed from the user's perspective.

GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs

1 code implementation29 Oct 2020 Hao Xu, Shengqi Sang, Peizhen Bai, Laurence Yang, Haiping Lu

Heterogeneous graph representation learning aims to learn low-dimensional vector representations of different types of entities and relations to empower downstream tasks.

Data Integration Graph Representation Learning +2

Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations

no code implementations12 Sep 2020 Ze Cheng, Juncheng Li, Chenxu Wang, Jixuan Gu, Hao Xu, Xinjian Li, Florian Metze

In this paper, we provide a theoretical explanation that low total correlation of sampled representation cannot guarantee low total correlation of the mean representation.

Multistability of Small Reaction Networks

1 code implementation10 Aug 2020 Xiaoxian Tang, Hao Xu

For three typical sets of small reaction networks (networks with two reactions, one irreversible and one reversible reaction, or two reversible-reaction pairs), we completely answer the challenging question: what is the smallest subset of all multistable networks such that any multistable network outside of the subset contains either more species or more reactants than any network in this subset?

TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network

1 code implementation5 Jul 2020 Hao Xu, Ka Hei Hui, Chi-Wing Fu, Hao Zhang

To start, we reformulate tiling as a graph problem by modeling candidate tile locations in the target shape as graph nodes and connectivity between tile locations as edges.

Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data

no code implementations16 May 2020 Hao Xu, Dongxiao Zhang, Junsheng Zeng

Next, genetic algorithm is utilized to discover the form of PDEs and corresponding coefficients with an incomplete candidate library.

A Large Scale Speech Sentiment Corpus

no code implementations LREC 2020 Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan

We present a multimodal corpus for sentiment analysis based on the existing Switchboard-1 Telephone Speech Corpus released by the Linguistic Data Consortium.

Sentiment Analysis

DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm

no code implementations21 Jan 2020 Hao Xu, Haibin Chang, Dongxiao Zhang

In the proposed framework, a deep neural network that is trained with available data of a physical problem is utilized to generate meta-data and calculate derivatives, and the genetic algorithm is then employed to discover the underlying PDE.

D2D-LSTM based Prediction of the D2D Diffusion Path in Mobile Social Networks

no code implementations28 Sep 2019 Hao Xu

However, current mainstream content popularity prediction methods only use the number of downloads and shares or the distribution of user interests, which do not consider important time and geographic location information in mobile social networks, and all of data is from OSN which is not same as MSN.


no code implementations25 Sep 2019 Ze Cheng, Juncheng B Li, Chenxu Wang, Jixuan Gu, Hao Xu, Xinjian Li, Florian Metze

In the problem of unsupervised learning of disentangled representations, one of the promising methods is to penalize the total correlation of sampled latent vari-ables.


DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data

no code implementations13 Aug 2019 Hao Xu, Haibin Chang, Dongxiao Zhang

However, prior to achieving this goal, major challenges remain to be resolved, including learning PDE under noisy data and limited discrete data.

Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning

no code implementations2 May 2019 Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani, Hanif Livani, Lei Yang, Hao Xu

In this paper, a biologically-inspired adaptive intelligent secondary controller is developed for microgrids to tackle system dynamics uncertainties, faults, and/or disturbances.

reinforcement-learning Reinforcement Learning (RL)

A Neural-Network-Based Optimal Control of Ultra-Capacitors with System Uncertainties

no code implementations29 Nov 2018 Jiajun Duan, Zhehan Yi, Di Shi, Hao Xu, Zhiwei Wang

Conventional control strategies usually produce large disturbances to buses during charging and discharging (C&D) processes of UCs, which significantly degrades the power quality and system performance, especially under fast C&D modes.

Pixel Chem: A Representation for Predicting Material Properties with Neural Network

no code implementations27 Sep 2018 Shuqian Ye, Yanheng Xu, Jiechun Liang, Hao Xu, Shuhong Cai, Shixin Liu, Xi Zhu

In this work we developed a new representation of the chemical information for the machine learning models, with benefits from both the real space (R-space) and energy space (K-space).

BIG-bench Machine Learning

Multiple Instance Curriculum Learning for Weakly Supervised Object Detection

no code implementations25 Nov 2017 Siyang Li, Xiangxin Zhu, Qin Huang, Hao Xu, C. -C. Jay Kuo

When supervising an object detector with weakly labeled data, most existing approaches are prone to trapping in the discriminative object parts, e. g., finding the face of a cat instead of the full body, due to lacking the supervision on the extent of full objects.

Multiple Instance Learning object-detection +2

Hybrid Affinity Propagation

no code implementations30 Jul 2013 Jingdong Wang, Hao Xu, Xian-Sheng Hua, Shipeng Li

We formulate this problem as finding a few image exemplars to represent the image set semantically and visually, and solve it in a hybrid way by exploiting both visual and textual information associated with images.

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